Senior Data Scientist

Automat-it; Madrid; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading tech solutions provider in Madrid is seeking a Senior Data Scientist to develop generative AI models using AWS SageMaker. The role requires expertise in machine learning, deep learning, and Python, with a focus on deploying scalable AI solutions. Benefits include professional training, international work environment, and wellness programs.

Servicios

Professional training and certifications

International work environment

Referral program bonuses

Company events and social gatherings

Wellbeing and professional coaching

English classes

Soft skills training

Formación

• 4 years of experience in machine learning or data science roles with deep learning expertise.
• Hands-on with AWS ML services, especially SageMaker and Bedrock.
• Experience deploying ML solutions on AWS cloud infrastructure.

Responsabilidades

• Develop and deploy cutting-edge generative AI models on SageMaker.
• Fine-tune and optimize models using quantization and distillation.
• Collaborate with Data Engineering, DevOps, and MLOps teams.

Conocimientos

Python

Machine Learning

Deep Learning (NLP, LLMs)

AWS SageMaker

Fine-tuning large language models

Communication skills

Educación

Master's degree in a relevant field

Herramientas

PyTorch

TensorFlow

Descripción del empleo

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps, FinOps, and GenAI solutions that drive real results. We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We are looking for a Senior Data Scientist to help shape how our clients build and scale AI solutions. In this role, you'll develop and deploy cutting-edge generative AI models on SageMaker, from model training and fine-tuning to optimized deployment, guiding customers from ideation to production through proof of concept. You’ll work closely with startup founders, technical leaders, and account teams to create scalable, high-impact AI solutions that drive real business value.

Work location - hybrid from Madrid

If you are interested in this opportunity, please submit your CV in English.

Responsibilities :

1. Model Development & Deployment: Deploy and train models on AWS SageMaker (using TensorFlow / PyTorch).
2. Model Tuning & Optimization: Fine-tune and optimize models using techniques like quantization and distillation, and tools like Replicate.
3. Generative AI Solutions: Design and implement advanced GenAI solutions, including prompt engineering and retrieval-augmented generation (RAG) strategies.
4. LLM Workflows: Develop agentic LLM workflows that incorporate tool usage, memory, and reasoning for complex problem-solving.
5. Scalability & Performance: Maximize model performance on AWS by leveraging techniques such as model compilation, distillation, and quantization, using AWS-specific features.
6. Collaboration: Work closely with Data Engineering, DevOps, and MLOps teams to integrate models into production pipelines and workflows.

Benefits :

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program: enjoy cooperation with your colleagues and get a bonus
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• Wellbeing and professional coaching
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

LI-hybrid #LI-AIT

Requirements :

1. 4 years of experience in machine learning or data science roles with deep learning (NLP, LLMs) expertise.
2. Expert in Python and deep learning frameworks (PyTorch / TensorFlow) and hands-on with AWS ML services (especially SageMaker and Bedrock).
3. Proven experience with generative AI and fine-tuning large language models.
4. Strong experience deploying ML solutions on AWS cloud infrastructure and familiarity with MLOps best practices.
5. Excellent communication skills and ability to work directly with customers in a consulting capacity.
6. A master’s degree in a relevant field and AWS ML certifications are a plus.

Remote Work : Employment Type :

Full-time

Key Skills

Laboratory Experience, Mammalian Cell Culture, Biochemistry, Assays, Protein Purification, Research Experience, Next Generation Sequencing, Research & Development, cGMP, Cell Culture, Molecular Biology, Flow Cytometry

Experience : years

Vacancy : 1